{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Greedy Filter Pruning\n",
    "\n",
    "\n",
    "In this notebook we review a couple of experiments performed on Plain20 using Distiller's version of greedy filter pruning.  This implementation is very similar to the greed algorithms defined in [1] and [2].\n",
    "\n",
    "This is another means to explore the network sub-space around a pre-trained model: by small greedy and iterative greedy filter-subtraction operations.  \n",
    "\n",
    "We want to answer the question: *how important is the duration of the short-term fine-tuning (see NetAdapt for definition of short-term FT)?*\n",
    "\n",
    "### Resources\n",
    "\n",
    "**[1] Structural Compression of Convolutional Neural Networks Based on Greedy Filter Pruning**<br>\n",
    "*Reza Abbasi-Asl, Bin Yu*\n",
    "https://arxiv.org/abs/1705.07356\n",
    "\n",
    "**[2] NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications**<br>\n",
    "*Tien-Ju Yang, Andrew Howard, Bo Chen, Xiao Zhang, Alec Go, Mark Sandler, Vivienne Sze, Hartwig Adam*<br>\n",
    "https://arxiv.org/abs/1804.03230, ECCV 2018"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd \n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib \n",
    "import csv\n",
    "from matplotlib.ticker import FuncFormatter\n",
    "import ipywidgets as widgets\n",
    "from ipywidgets import interactive, interact, Layout\n",
    "import matplotlib.pylab as pylab\n",
    "import matplotlib.animation as animation\n",
    "from matplotlib import animation, rc\n",
    "from IPython.display import HTML"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "fname1 = \"../classifier_compression/latest_log_dir/netadapt.csv\"\n",
    "\n",
    "fname1 = \"../automated_deep_compression/sample_logs/greedy_search/2019.01.08-185015/greedy.csv\"\n",
    "fname2 = \"../automated_deep_compression/sample_logs/greedy_search/2019.01.09-010040/greedy.csv\"\n",
    "df1 = pd.read_csv(fname1)\n",
    "df2 = pd.read_csv(fname2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "params = {'legend.fontsize': 'x-large',\n",
    "          'figure.figsize': (15, 7),\n",
    "          'axes.labelsize': 'x-large',\n",
    "          'axes.titlesize':'xx-large',\n",
    "          'xtick.labelsize':'x-large',\n",
    "          'ytick.labelsize':'x-large'}\n",
    "pylab.rcParams.update(params)\n",
    "\n",
    "\n",
    "def to_percent(y, position):\n",
    "    # Ignore the passed in position. This has the effect of scaling the default\n",
    "    # tick locations.\n",
    "    if y <= 1:\n",
    "        y = 100 * y\n",
    "    s = \"{:.1f}\".format(y)\n",
    "\n",
    "    # The percent symbol needs escaping in latex\n",
    "    if matplotlib.rcParams['text.usetex'] is True:\n",
    "        return s + r'$\\%$'\n",
    "    else:\n",
    "        return s + '%'\n",
    "    \n",
    "def plot_2d_embeddings(plots): # top1, normalized_macs, cmap_str):\n",
    "    plt.figure(figsize=(15,7))        \n",
    "    plt.title('Projection of Discovered Networks') # ({})'.format(len(top1)))     \n",
    "    plt.xlabel('Normalized MACs')\n",
    "    plt.ylabel('Top1 Accuracy')\n",
    "\n",
    "    # Create the formatter using the function to_percent. This multiplies all the\n",
    "    # default labels by 100, making them all percentages\n",
    "    formatter = FuncFormatter(to_percent)\n",
    "\n",
    "    # Set the formatter\n",
    "    plt.gca().yaxis.set_major_formatter(formatter)\n",
    "    plt.gca().xaxis.set_major_formatter(formatter)\n",
    "\n",
    "    # Use color gradients to show the \"age\" of the network:\n",
    "    # Lighter networks were discovered earlier than darker ones.\n",
    "    for plot in plots:\n",
    "        cm = plt.get_cmap(plot[2])\n",
    "        top1 = plot[0]\n",
    "        normalized_macs = plot[1]\n",
    "        color_grad = [cm(float(i)/len(top1)) for i in range(len(top1))]\n",
    "        plt.scatter(normalized_macs, top1, color=color_grad, s=80, edgecolors='gray', marker='o');\n",
    "\n",
    "plots = [(df1['top1'], df1['normalized_macs'], \"Greens\"),\n",
    "         (df2['top1'], df2['normalized_macs'], \"Reds\")]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Experiment1: Short-term fine-tuning using 20% of the training DS\n",
    "\n",
    "Run NetAdapt with 1 epoch of short-term fine-tuning which uses 20% of the training dataset, for one epoch.\n",
    "```\n",
    "time python3 compress_classifier.py --arch=plain20_cifar ../../../data.cifar --resume=checkpoint.plain20_cifar.pth.tar --greedy --vs=0.8\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_2d_embeddings(plots[:-1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Long-term fine-tuning (40 epochs)\n",
    "```\n",
    "time python3 compress_classifier.py --arch=plain20_cifar ../../../data.cifar --epochs=40 --lr=0.005 -p=50  --resume=logs/2019.01.08-185015/netadapt_0.5_checkpoint.pth.tar --vs=0\n",
    "```\n",
    "\n",
    "**==> Best Top1: 88.880 on Epoch: 37**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Experiment2: Short-term fine-tuning using 100% of the training DS\n",
    "\n",
    "We repeat the NetAdapt training, but this time with 1 epoch of short-term fine-tuning which uses 100% of the training dataset, for one epoch.\n",
    "```\n",
    "time python3 compress_classifier.py --arch=plain20_cifar ../../../data.cifar --resume=checkpoint.plain20_cifar.pth.tar --greedy\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_2d_embeddings(plots)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "time python3 compress_classifier.py --arch=plain20_cifar ../../../data.cifar --resume=checkpoint.plain20_cifar.pth.tar --netadapt\n",
    "```\n",
    "==> using cifar10 dataset\n",
    "=> creating plain20_cifar model for CIFAR10\n",
    "Invoking create_thinning_recipe_filters\n",
    "In tensor module.layer3.0.conv2.weight found 4/48 zero filters\n",
    "Created, applied and saved a thinning recipe\n",
    "Iteration 83: 86.27 module.layer3.0.conv2.weight 0.49511363636363637\n",
    "--- test ---------------------\n",
    "10000 samples (256 per mini-batch)\n",
    "Test: [   10/   39]    Loss 0.451831    Top1 86.367188    Top5 99.375000\n",
    "Test: [   20/   39]    Loss 0.443609    Top1 86.347656    Top5 99.257812\n",
    "Test: [   30/   39]    Loss 0.432273    Top1 86.549479    Top5 99.375000\n",
    "Test: [   40/   39]    Loss 0.439493    Top1 86.390000    Top5 99.450000\n",
    "==> Top1: 86.390    Top5: 99.450    Loss: 0.439\n",
    "\n",
    "86.39 99.45 0.4394926078617573\n",
    "Saving checkpoint to: logs/2019.01.09-010040/netadapt_0.5_checkpoint.pth.tar\n",
    "\n",
    "Log file for this run: /home/cvds_lab/nzmora/pytorch_workspace/distiller/examples/classifier_compression/logs/2019.01.09-010040/2019.01.09-010040.log\n",
    "\n",
    "real    258m19.600s\n",
    "user    781m11.641s\n",
    "sys     164m58.532s\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Long-term fine-tuning (40 epochs)\n",
    "```\n",
    "time python3 compress_classifier.py --arch=plain20_cifar ../../../data.cifar --epochs=40 --lr=0.005 -p=50  --resume=logs/2019.01.09-010040/netadapt_0.5_checkpoint.pth.tar --vs=0\n",
    "```\n",
    "\n",
    "**==> Best Top1: 90.200 on Epoch: 29**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "The longer short-term fine-tuning of the second experiment adds considerable time to the experiment duration, but produces near-dense Top1 results.  \n",
    "\n",
    "The question is why?  How do these networks structurally differ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "language": "python",
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    "cell_type": "raw",
    "source": [],
    "metadata": {
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